일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 |
- 컴퓨터 비전
- 그래픽스
- neural network
- CPP
- cs231n
- petal to metal
- OpenGL
- Computer Vision
- 컴퓨터 그래픽스
- Regularization
- SVM
- 딥러닝
- CNN
- 로지스틱 회귀
- recommender system
- 파이썬
- 인공지능
- SGD
- Support Vector Machine
- C++
- pre-trained
- Vision
- Unsupervised learning
- 비용함수
- 신경망
- Kaggle
- logistic regression
- 백준
- 머신러닝
- 추천 시스템
- Today
- Total
목록비용함수 (2)
kwan's note

출처: machine learning by andrew ng, stanford cousera lecture 수강일시: 2021.01.26 reminder-by-kwan.tistory.com/91 logistic regression -로지스틱 회귀 출처: machine learning by andrew ng, stanford cousera lecture 수강일시: 2021.01.26 reminder-by-kwan.tistory.com/86 supervised learning -지도학습 출처: machine learning by andrew ng, stanford cousera.. reminder-by-kwan.tistory.com 로지스틱 회귀에서 비용함수를 생각해보자. 이전까지는 비용함수를 h-y의 제곱..

출처: machine learning by andrew ng, stanford cousera lecture 수강일시: 2021.01.24 www.coursera.org/learn/machine-learning/home Coursera | Online Courses & Credentials From Top Educators. Join for Free | Coursera Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career wit..